AI Medical Compendium Journal:
IEEE journal of biomedical and health informatics

Showing 81 to 90 of 1081 articles

REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification.

IEEE journal of biomedical and health informatics Mar 6, 2025
High-quality scalp EEG datasets are extremely valuable for motor imagery (MI) analysis. However, due to electrode size and montage, different datasets inevitably experience channel information loss, posing a significant challenge for MI decoding. A 2...
Brain-Computer Interfaces Imagination Male Signal Processing, Computer-Assisted Algorithms Electroencephalography Electrodes Adult Humans Neural Networks, Computer
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DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenges such as limited ability to generalize, and inadequate representation...
Neural Networks, Computer Algorithms Graph Neural Networks Drug Discovery Molecular Structure
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Drug Repositioning via Multi-View Representation Learning With Heterogeneous Graph Neural Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
Exploring simple and efficient computational methods for drug repositioning has emerged as a popular and compelling topic in the realm of comprehensive drug development. The crux of this technology lies in identifying potential drug-disease associati...
Graph Neural Networks Humans Computational Biology Drug Repositioning Neural Networks, Computer Algorithms
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Knowledge Graph Neural Network With Spatial-Aware Capsule for Drug-Drug Interaction Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
Uncovering novel drug-drug interactions (DDIs) plays a pivotal role in advancing drug development and improving clinical treatment. The outstanding effectiveness of graph neural networks (GNNs) has garnered significant interest in the field of DDI pr...
Humans Neural Networks, Computer Algorithms Graph Neural Networks Computational Biology Drug Interactions
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Enhancing Predictions of Drug Solubility Through Multidimensional Structural Characterization Exploitation.

IEEE journal of biomedical and health informatics Mar 6, 2025
Solubility is not only a significant physical property of molecules but also a vital factor in small-molecule drug development. Determining drug solubility demands stringent equipment, controlled environments, and substantial human and material resou...
Neural Networks, Computer Humans Solubility Pharmaceutical Preparations
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Deep Augmented Metric Learning Network for Prostate Cancer Classification in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Prostate cancer screening often relies on cost-intensive MRIs and invasive needle biopsies. Transrectal ultrasound imaging, as a more affordable and non-invasive alternative, faces the challenge of high inter-class similarity and intra-class variabil...
Prostate Image Interpretation, Computer-Assisted Ultrasonography Prostatic Neoplasms Male Deep Learning Humans
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Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure.

IEEE journal of biomedical and health informatics Mar 6, 2025
Predicting the binding affinity of drug target is essential to reduce drug development costs and cycles. Recently, several deep learning-based methods have been proposed to utilize the structural or sequential information of drugs and targets to pred...
Protein Binding Computational Biology Drug Discovery Deep Learning Proteins Pharmaceutical Preparations Humans Algorithms
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Property-Guided Few-Shot Learning for Molecular Property Prediction With Dual-View Encoder and Relation Graph Learning Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
Molecular property prediction is an important task in drug discovery. However, experimental data for many drug molecules are limited, especially for novel molecular structures or rare diseases which affect the accuracy of many deep learning methods t...
Humans Machine Learning Deep Learning Algorithms Drug Discovery
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BINDTI: A Bi-Directional Intention Network for Drug-Target Interaction Identification Based on Attention Mechanisms.

IEEE journal of biomedical and health informatics Mar 6, 2025
The identification of drug-target interactions (DTIs) is an essential step in drug discovery. In vitro experimental methods are expensive, laborious, and time-consuming. Deep learning has witnessed promising progress in DTI prediction. However, how t...
Proteins Neural Networks, Computer Drug Discovery Humans Deep Learning Computational Biology
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DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the development of technology and large-scale biological databases, computational drug repositioning has increasingly attracted...
Neural Networks, Computer Machine Learning Humans Computational Biology Drug Repositioning Semantics Algorithms Databases, Factual
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